Doubly-Fed Wind Power Model for Grid Connection Testing

The doubly-fed wind power model serves as a critical tool for simulating the dynamic characteristics of wind power generation systems in grid connection testing. By developing an accurate Doubly-Fed Induction Generator (DFIG) model, engineers can simulate the power generation behavior of wind turbines under varying wind speed conditions and their interaction with the power grid. In code implementation, this typically involves mathematical modeling of rotor-side and grid-side converters, pitch angle control algorithms, and maximum power point tracking (MPPT) logic to capture realistic turbine dynamics.

During grid connection testing phases, this model enables validation of critical performance metrics such as voltage and frequency adaptability, as well as Low Voltage Ride-Through (LVRT) capability. The testing results demonstrate that the DFIG model accurately reflects the dynamic responses of actual wind turbines, providing reliable data for grid stability analysis and significantly reducing risks during actual grid commissioning. Implementation-wise, the LVRT function requires coding fault detection algorithms and coordinated control between the rotor-side converter and crowbar protection circuits to maintain rotor current within safe limits during voltage dips.

Furthermore, through parameter optimization and model verification, this doubly-fed wind power model can be utilized to study the impact of wind farm power output fluctuations on grid stability, offering technical support for power system planning and operation. The model typically incorporates power fluctuation analysis algorithms that calculate statistical variations in active/reactive power outputs under turbulent wind conditions. Overall testing performance confirms the practicality and accuracy of this model in grid connection experiments, with validation protocols including comparison with field measurement data and sensitivity analysis of controller parameters.